Improved Double-Vector Model Predictive Current Control of Permanent Magnet Synchronous Linear Motor
Authors: 
Jian Lin, Gaoshuo Xie, XinXin ShiAuthors Info & Claims
Jian Lin, Gaoshuo Xie, XinXin ShiAuthors Info & ClaimsPages 150 - 156
Abstract
Due to the limitation of single-vector MPC (Model Predictive Control) and duty cycle MPC current control in voltage vector selection, double vector MPC is applied to the control of linear motor current loop. The control strategy selects two voltage vectors in a sampling period, which enlarges the range of the actual acting voltage, so the voltage vector selection is more accurate. In view of the large amount of calculation of the algorithm, the voltage vector selection method is improved to reduce the range of vector selection and simplify the calculation. The experimental results show that the improved double-vector MPC algorithm can improve the regulating and tracking performance of the current loop, restrain the thrust fluctuation of the linear motor effectively and enhance the stability of the linear motor operation.
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- Improved Double-Vector Model Predictive Current Control of Permanent Magnet Synchronous Linear Motor
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Published In
March 2019
279 pages
ISBN:9781450361286
DOI:10.1145/3319921
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- Xi'an Jiaotong-Liverpool University: Xi'an Jiaotong-Liverpool University
- University of Texas-Dallas: University of Texas-Dallas
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Association for Computing Machinery
New York, NY, United States
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Published: 15 March 2019
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ICIAI 2019
ICIAI 2019: 2019 The 3rd International Conference on Innovation in Artificial Intelligence
March 15 - 18, 2019
Suzhou, China
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